Existence, Hypotheses and Categories in Knowledge Representation. - Eduardo Camargo; Eduardo Yuji Sakabe; Ricardo Ribeiro Gudwin (BICA*AI, 2022)

A general framework for reinforcement learning in cognitive architectures. - Gustavo Morais; Eduardo Yuji Sakabe; Paula D. P. Costa; Alexandre da Silva Simões; Ricardo R. Gudwin; Esther Colombini (Cogn. Syst. Res., 2025)

Binarized Neural Networks Converge Toward Algorithmic Simplicity: Empirical Support for the Learning-as-Compression Hypothesis. - Eduardo Yuji Sakabe; Felipe S. Abrahão; Alexandre da Silva Simões; Esther Colombini; Paula Dornhofer Paro Costa; Ricardo R. Gudwin; Hector Zenil (CoRR, 2025)